Transforming Data Pipeline Management With a Targeted Proof of Concept
Description
At Capital One, data-driven decision making is paramount to our success. This session explores how a focused proof of concept (POC) accelerated a shift in our data pipeline management strategy, resulting in operational improvements and expanded analytical capabilities. We'll cover the business challenges that motivated POC initiation, including data latency, cost savings and scalability limitations, and real-world results. We'll also dive into an examination of the before-and-after architecture with highlights for key technological levers. This session offers insights for data engineering and machine learning practitioners seeking to optimize their data pipelines for improved performance, scalability and business value. Talk By: Raghu Valluri, VP, Data Engineering & Analytics, Capital One Financial ; Yi-Chen Tu, MVP, Data Science, Capital One Financial Here’s more to explore: Production ready data pipelines for analytics and AI: https://www.databricks.com/solutions/data-engineering The Big Book of Data Engineering: https://www.databricks.com/resources/ebook/big-book-data-engineering-2nd-edition See all the product announcements from Data + AI Summit: https://www.databricks…
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